Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales

Body condition is a crucial and indicative measure of an animal’s fitness, reflecting overall foraging success, habitat quality, and balance between energy intake and energetic investment toward growth, maintenance, and reproduction. Recently, drone-based photogrammetry has provided new opportunitie...

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Published in:Frontiers in Marine Science
Main Authors: Bierlich, K. C., Hewitt, Joshua, Bird, Clara N., Schick, Robert S., Friedlaender, Ari, Torres, Leigh G., Dale, Julian, Goldbogen, Jeremy, Read, Andrew J., Calambokidis, John, Johnston, David W.
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2021
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Online Access:http://dx.doi.org/10.3389/fmars.2021.749943
https://www.frontiersin.org/articles/10.3389/fmars.2021.749943/full
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spelling crfrontiers:10.3389/fmars.2021.749943 2024-09-30T14:25:10+00:00 Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales Bierlich, K. C. Hewitt, Joshua Bird, Clara N. Schick, Robert S. Friedlaender, Ari Torres, Leigh G. Dale, Julian Goldbogen, Jeremy Read, Andrew J. Calambokidis, John Johnston, David W. 2021 http://dx.doi.org/10.3389/fmars.2021.749943 https://www.frontiersin.org/articles/10.3389/fmars.2021.749943/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 8 ISSN 2296-7745 journal-article 2021 crfrontiers https://doi.org/10.3389/fmars.2021.749943 2024-09-03T04:04:57Z Body condition is a crucial and indicative measure of an animal’s fitness, reflecting overall foraging success, habitat quality, and balance between energy intake and energetic investment toward growth, maintenance, and reproduction. Recently, drone-based photogrammetry has provided new opportunities to obtain body condition estimates of baleen whales in one, two or three dimensions (1D, 2D, and 3D, respectively) – a single width, a projected dorsal surface area, or a body volume measure, respectively. However, no study to date has yet compared variation among these methods and described how measurement uncertainty scales across these dimensions. This associated uncertainty may affect inference derived from these measurements, which can lead to misinterpretation of data, and lack of comparison across body condition measurements restricts comparison of results between studies. Here we develop a Bayesian statistical model using known-sized calibration objects to predict the length and width measurements of unknown-sized objects (e.g., a whale). We use the fitted model to predict and compare uncertainty associated with 1D, 2D, and 3D photogrammetry-based body condition measurements of blue, humpback, and Antarctic minke whales – three species of baleen whales with a range of body sizes. The model outputs a posterior predictive distribution of body condition measurements and allows for the construction of highest posterior density intervals to define measurement uncertainty. We find that uncertainty does not scale linearly across multi-dimensional measurements, with 2D and 3D uncertainty increasing by a factor of 1.45 and 1.76 compared to 1D, respectively. Each standardized body condition measurement is highly correlated with one another, yet 2D body area index (BAI) accounts for potential variation along the body for each species and was the most precise body condition metric. We hope this study will serve as a guide to help researchers select the most appropriate body condition measurement for their purposes and ... Article in Journal/Newspaper Antarc* Antarctic baleen whales Frontiers (Publisher) Antarctic Frontiers in Marine Science 8
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
description Body condition is a crucial and indicative measure of an animal’s fitness, reflecting overall foraging success, habitat quality, and balance between energy intake and energetic investment toward growth, maintenance, and reproduction. Recently, drone-based photogrammetry has provided new opportunities to obtain body condition estimates of baleen whales in one, two or three dimensions (1D, 2D, and 3D, respectively) – a single width, a projected dorsal surface area, or a body volume measure, respectively. However, no study to date has yet compared variation among these methods and described how measurement uncertainty scales across these dimensions. This associated uncertainty may affect inference derived from these measurements, which can lead to misinterpretation of data, and lack of comparison across body condition measurements restricts comparison of results between studies. Here we develop a Bayesian statistical model using known-sized calibration objects to predict the length and width measurements of unknown-sized objects (e.g., a whale). We use the fitted model to predict and compare uncertainty associated with 1D, 2D, and 3D photogrammetry-based body condition measurements of blue, humpback, and Antarctic minke whales – three species of baleen whales with a range of body sizes. The model outputs a posterior predictive distribution of body condition measurements and allows for the construction of highest posterior density intervals to define measurement uncertainty. We find that uncertainty does not scale linearly across multi-dimensional measurements, with 2D and 3D uncertainty increasing by a factor of 1.45 and 1.76 compared to 1D, respectively. Each standardized body condition measurement is highly correlated with one another, yet 2D body area index (BAI) accounts for potential variation along the body for each species and was the most precise body condition metric. We hope this study will serve as a guide to help researchers select the most appropriate body condition measurement for their purposes and ...
format Article in Journal/Newspaper
author Bierlich, K. C.
Hewitt, Joshua
Bird, Clara N.
Schick, Robert S.
Friedlaender, Ari
Torres, Leigh G.
Dale, Julian
Goldbogen, Jeremy
Read, Andrew J.
Calambokidis, John
Johnston, David W.
spellingShingle Bierlich, K. C.
Hewitt, Joshua
Bird, Clara N.
Schick, Robert S.
Friedlaender, Ari
Torres, Leigh G.
Dale, Julian
Goldbogen, Jeremy
Read, Andrew J.
Calambokidis, John
Johnston, David W.
Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales
author_facet Bierlich, K. C.
Hewitt, Joshua
Bird, Clara N.
Schick, Robert S.
Friedlaender, Ari
Torres, Leigh G.
Dale, Julian
Goldbogen, Jeremy
Read, Andrew J.
Calambokidis, John
Johnston, David W.
author_sort Bierlich, K. C.
title Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales
title_short Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales
title_full Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales
title_fullStr Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales
title_full_unstemmed Comparing Uncertainty Associated With 1-, 2-, and 3D Aerial Photogrammetry-Based Body Condition Measurements of Baleen Whales
title_sort comparing uncertainty associated with 1-, 2-, and 3d aerial photogrammetry-based body condition measurements of baleen whales
publisher Frontiers Media SA
publishDate 2021
url http://dx.doi.org/10.3389/fmars.2021.749943
https://www.frontiersin.org/articles/10.3389/fmars.2021.749943/full
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
baleen whales
genre_facet Antarc*
Antarctic
baleen whales
op_source Frontiers in Marine Science
volume 8
ISSN 2296-7745
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/fmars.2021.749943
container_title Frontiers in Marine Science
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